Outlier detection in cold-chain logistics temperature monitoring

Abstract

In the field of cold chain logistics, the key point is the real time control of temperature. Thus the failure of synchronous temperature monitoring is the bottleneck of coldchain temperature monitoring. Targeting at the real-time features of synchronous temperature monitoring, this paper discusses some issues about RFID technology applied to outlier detection. Through comparing differing feasible RFID data mining methods, along with the requirements of the cold chain temperature monitoring, we put forward the improved QOD (quick outlier detection) algorithm by clustering based on data stream. After that, we prove that QOD algorithm's performance can be improved after optimization and compared it with several other related methods in accuracy, memory consumption.